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Technical ai pre-sales consultant

Christchurch
Spyrosoft Ltd
Pre sales consultant
Posted: 4h ago
Offer description

About The Company Founded in 2016, Spyrosoft is a global technology consulting company specialising in software development, digital transformation, and IT services. Recognised by the Financial Times as one of Europes fastest-growing tech companies in 2021 and 2022, we deliver innovative solutions across industries including automotive, healthcare, and financial services.
Role Overview As a Senior Technical Pre-Sales Consultant, you will play a key role in bridging the gap between business needs and advanced Technology and AI solutions. You will work closely with clients and internal teams to translate business challenges into data-driven strategies, shaping, prototyping and consulting on innovative technology concepts and AI solutions that drive measurable impact. This role also contributes to the growth and development of our AI Consulting capability within the UK market. You will be reporting to the Chief Executive Officer.
Key Responsibilities Lead client discovery sessions and pre-sales activities, proposal creation, identifying technology and AI opportunities and defining project scope

Proven GenAI and LLM expertise, from RAG and fine-tuning to observability, focused on driving measurable business outcomes

Advise on technology and architecture decisions, balancing cost, risk, and performance

Advising on end-to-end technology and AI projects, ensuring quality, stakeholder alignment, and business impact

Any other reasonable requests in line with your job role

Skills And Experience Essential Proven experience in technology and AI consulting incl software development with a strong track record of delivering business value

Proficiency in Python and ML/DL frameworks (e.g., scikit-learn, PyTorch, TensorFlow)

Experience with AI/ML tools (e.g., Jupyter, MLflow, Vertex AI, Azure ML, Amazon SageMaker

Experience of creating delivery client-facing proof of concepts

Strong knowledge of cloud platforms (Azure, AWS, GCP) and MLOps best practices

Experience with Generative AI and LLMs (e.g., RAG, fine-tuning, prompt engineering)

Desirable Degree in Business, Computer Science, Engineering, or related field

Personal Attributes Strong analytical and strategic thinking skills

Excellent communication skills with the ability to translate technical concepts into business language

Proactive, innovative, and solution-oriented mindset

Benefits 25 days holiday, plus bank holidays plus birthday paid each year

Sick leave following probation (20 days per each rolling period each year)

Pension contribution is 10% employer from qualifying earnings following auto enrolment after 3 months service

Private medical insurance via AXA after 6 months of service

Life assurance (5 x salary) after 6 months' service

Access to a free Eye voucher with Specsavers and a Flu vaccination with Boots

Access to the cycle-to-work scheme

Enhanced parental leave

TPBN1_UKTJ

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